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2009
NEW-YEAR BREAK

17.12.2009
Thursday
Nonlinear Models with Dirichlet process mixtures
Presenter: Botond Bócsi
Links:
  • B. Shahbaba, R. Neal (2009) Nonlinear Models Using Dirichlet Process Mixtures PDF.

15:00, Math207

10.12.2009
Thursday
Multiple Kernel Learning
Presenter: Zsolt Minier
Links:
  • M. Gönen, E. Alpaydin (2008) Multiple Kernel Learning Algorithms PDF.
  • Multiple kernel learning data-sets. Link

15:00, Math207

26.11.2009
Thursday
Gradient-Descent Methods in Temporal-Difference Learning
Presenter: Lehel Csató
Link:
  • R. Sutton, H. Maei, D. Precup, S. Bhatnagar, D. Silver, Cs. Szepesvari, E. Wiewiora (2009): Fast Gradien-Descent Methods for Temporal-Difference Learning with Linear Function Approximation (ICML) PDF.

15:00, Math207

19.11.2009
Thursday
Residual Algorithms: Reinforcement Learning with Function Approximation
Presenter: Botond Bócsi
Link:
  • L. Baird (1995) Residual Algorithms: Reinforcement Learning with Function Approximations (ICML) PDF.

15:00, Math207

30.04.2009
Thursday
Reinforcement Learning Survey
Presenter: Lehel Csató
Link:
  • M. van Otterlo (2005) A Survey of Reinforcement Learning in Relational Domains, (CTIT-TR) PDF.

15:00, Math207

09.04.2009 and 16.04.2009
Thursday
Gaussian Processes and Reinforcement Learning
Presenter: Lehel Csató
Link:
  • R. Dearden, N. Friedman, S. Russell (1998) Bayesian Q-learning Learning, (AAAI)
  • Y. Engel, P. Szabó, D. Volkinshtein (2005) Learning to Control an Octopus Arm with Gaussian Process Temporal Difference Methods, (NIPS)
    Link to the PDF: PDF_2.

15:00, Math207

2.04.2009
Thursday
L_q regularization
Presenter: Zsolt Minier
Link:
  • A. Kaban, Z, R.J Durant (2008) Learning with L_{q<1} vs L_1 norm regularization with exponentially many irrelevant features, (ECML) PDF.

15:00, Math207

5.03.2009
Thursday
R1-PCA
Presenter: Zsolt Minier
Link:
  • Chris D, Ding Z, Xiaofeng H, Hongyuan Z (2006) R1-PCA: Rotational Invariant L1-norm Principal Component Analysis for Robust Subspace Factorization, (ICML) PDF.

15:00, Math207

25.02.2009
Wednesday
Reinforcement learning using policy gradient - II
Presenter: Zalan Bodó
Link:
  • Peters J, Schaal S (2006) Policy Gradient methods for Robotics, (Neurocomputing) LOCAL PDF.

14:00, Math207

18.02.2009
Wednesday
Reinforcement learning using policy gradient
Presenter: Lehel Csató
Link:
  • Aberdeen D (2003) Policy-Gradient Algorithms for POMDP-s. LOCAL PDF.
    We should read Chapters 4 and 5 (pp 55--76).

14:00, Math207

11.02.2009
Wednesday
Reinforcement in Robotics
Presenter: Hunor Jakab
Link:
  • Rueckstiess T, Felder M, Schmidhuber J (2008) State-dependent Exploration for Policy Gradient Methods (ECML) LOCAL PDF.

14:00, Math207

04.02.2009
Wednesday
Boosting simplified...
Presenter: Lehel Csato
Link:
14:00, Math207

28.01.2009
Wednesday
Stress-break

21.01.2009
Wednesday
Boosting
Presenter: Botond Bocsi
Links:
  • R. Meir, G. Raetsch: An introduction to boosting and leveraging, [Local PDF copy]
    We should read sections 1-3
  • Y. Freund, R.E. Shapire: A short introduction to boosting [Local PDF copy]

14:00, Math207

14.01.2009
Wednesday
Support Vector Clustering
Presenter: Zsolt Minier, Zalan Bodo
Links:
  • A. Ben-Hur, D. Horn, H.T. Siegelmann, V. Vapnik: Support Vector Clustering [Local PDF copy]
  • J. Park, X. Ji, H. Zha, R. Kasturi: SVC Combined with Spectral Graph Partitioning [Local PDF copy]

14:00, Math207

07.01.2009
Wednesday
Causality Challenge
Presenter: Zsolt Minier
Link:
  • Y.-W. Chang, C.-J. Lin: Feature Ranking Using Linear SVM Local PDF copy

14:00, Math207